• +91 44
  • jstm at dline.info

An Altmetric Analysis of Scholarly Publications from Earth and Planetary Science Discipline: An Exploratory Study of Indian Publications
Amit Nath, Sibsankar Jana
University of Kalyani Nadia-741235 India
Abstract: Since the inception of social media, entire human society has dramatically changed. Nowadays, social media has become an essential component of human society. Researchers or academicians are no exceptions. Social media has opened up new possibilities for researchers and academicians to evaluate scientific research based on social media data. In this response, altmetric is introduced as an emerging research area in scientometrics, where social media data is applied as source data for the evaluation of scientific research. The sufficient presence of altmetric data across scholarly publications is a prerequisite for developing new metrics in practice. This article aimed to investigate the presence of altmetric data in Indian scholarly publications compared to the world data. It has also explored the relationship among altmetric events (individual or aggregated) with citation scores. The result indicates that around 32.70% of Indian EPS articles are covered in social media, while 35.75% of research articles present at least one altmetric event for world data. The presence of altmetric events is still meager, except for Mendeley. A strong positive correlation is observed between citations and readership in Mendeley.
Keywords: Social Media Metrics, Altmetrics, Earth and Planetary Science, Altmetric Data Coverage Co-relational Analysis, Altmetric Presence, Social Media Attention An Altmetric Analysis of Scholarly Publications from Earth and Planetary Science Discipline: An Exploratory Study of Indian Publications
DOI:https://doi.org/10.6025/stm/2022/3/3/80-87
Full_Text   PDF (1.66 MB)   Download:   114  times
References:


[1] Akoglu, H. (2018). User’s guide to correlation coefficients. Turkish Journal of Emergency Medicine, 18(3), 91–93. https://doi.org/10.1016/j.tjem.2018.08.001

[2] Banshal, S. K., Singh, V. K., Kaderye, G., Muhuri, P. K., & Sánchez, B. P. (2018). An altmetric analysis of scholarly articles from India. Journal of Intelligent and Fuzzy Systems, 34(5), 3111–3118. Scopus. https://doi.org/10.3233/JIFS-169495

[3] Banshal, S. K., Singh, V. K., & Muhuri, P. K. (2021). Can altmetric mentions predict later citations? A test of validity on data from ResearchGate and three social media platforms. Online Information Review, ahead-of-print(ahead-of-print). https://doi.org/10.1108/OIR-11-2019-0364
[4] Banshal, S. K., Singh, V. K., Muhuri, P. K., & Mayr, P. (2019a). How much research output from India gets social media attention? Current Science, 117(5), 753–760. Scopus. https://doi.org/10.18520/cs/v117/i5/753-760

[5] Banshal, S. K., Singh, V. K., Muhuri, P. K., & Mayr, P. (2019b). Disciplinary variations in altmetric coverage of scholarly articles. In Catalano G., Daraio C., Gregori M., Moed H.F., & Ruocco G. (Eds.), Int. Conf. Scientometrics Informetrics, ISSI - Proc. (Vol. 2, pp. 1870–1881). International Society for Scientometrics and Informetrics; Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073879404&partnerID=40&md5=af2cf120e2958e54d1a1b4d0758cddf9

[6] Bornmann, L. (2014). Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics. Journal of Informetrics, 8(4), 895–903. https://doi.org/10.1016/j.joi.2014.09.005

[7] Bornmann, L. (2015). Alternative metrics in scientometrics: A meta-analysis of research into three altmetrics. Scientometrics, 103(3), 1123–1144. Scopus. https://doi.org/10.1007/s11192-015-1565-y

[8] Bornmann, L. (2016). What do altmetrics counts mean? A plea for content analyses. Journal of the Association for Information Science and Technology, 67(4), 1016–1017. Scopus. https://doi.org/10.1002/asi.23633

[9] Costas, R., Zahedi, Z., & Wouters, P. (2015). Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective. Journal of the Association for Information Science and Technology, 66(10), 2003–2019. Scopus. https://doi.org/10.1002/asi.23309

[10] Eldakar, M. A. M. (2019). Who reads international Egyptian academic articles? An altmetrics analysis of Mendeley readership categories. Scientometrics, 121(1), 105–135. https://doi.org/10.1007/s11192-019-03189-7

[11] Glänzel, W., & Gorraiz, J. (2015). Usage metrics versus altmetrics: Confusing terminology? Scientometrics, 102(3), 2161–2164. https://doi.org/10.1007/s11192-014-1472-7

[12] Hammarfelt, B. (2014). Using altmetrics for assessing research impact in the humanities. Scientometrics, 101(2), 1419–1430. Scopus. https://doi.org/10.1007/s11192-014-1261-3

[13] Lamba, M., Kashyap, N., & Madhusudhan, M. (2021). Research evaluation of computer science publications using Altmetrics: A cohort study of Indian Central Universities. Global Knowledge, Memory and Communication, ahead-of-print(ahead-of-print). https://doi.org/10.1108/GKMC-07-2020-0097

[14] Mohammadi, E., Thelwall, M., Haustein, S., & Larivière, V. (2015). Who reads research articles? An altmetrics analysis of Mendeley user categories. Journal of the Association for Information Science and Technology, 66(9), 1832–1846. https://doi.org/10.1002/asi.23286

[15] Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: A comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5

[16] Nath, A., Jana, S., Kerketta, S., & Kerketta, S. (2020). Who Reads PLOS Research Articles? Extensive Analysis of the Mendeley Readership Categories of PLOS Journals. Journal of Scientometric Research, 9(3), 245–252. https://doi.org/10.5530/jscires.9.3.32

[17] Ouchi, A., Saberi, M. K., Ansari, N., Hashempour, L., & Isfandyari-Moghaddam, A. (2019). Do altmetrics correlate with citations? A study based on the 1,000 most-cited articles. Information Discovery and Delivery, 47(4), 192–202. Scopus. https://doi.org/10.1108/IDD-07-2019-0050

[18] Piwowar, H. (2013). Value all research products. Nature, 493(7431), 159–159. https://doi.org/10.1038/493159a

[19] Priem, J. (2010). (20) Jason Priem on Twitter: “I like the term #articlelevelmetrics, but it fails to imply *diversity* of measures. Lately, I’m liking #altmetrics.” / Twitter. Twitter. https://twitter.com/jasonpriem/status/25844968813

Contact